492 citations · 6.6k across the 217 of their papers we have counts for
14 papers · 1 filter
LBcuda: a high-performance CUDA port of LBsoft for simulation of colloidal systems
Fabio Bonaccorso, Marco Lauricella, Andrea Montessori +5
We present LBcuda, a GPU accelerated version of LBsoft, our open-source MPI-based software for the simulation of multi-component colloidal flows. We describe the design principles,…
High-Resolution WiFi Imaging with Reconfigurable Intelligent Surfaces
Ying He, Dongheng Zhang, Yan Chen
WiFi-based imaging enables pervasive sensing in a privacy-preserving and cost-effective way. However, most of existing methods either require specialized hardware modification or s…
Analysis of Carlemann Linearization of Lattice Boltzmann
Wael Itani, Sauro Succi
We explore the Carlemann linearization of the collision term of the lattice Boltzmann formulation, as a first step towards formulating a quantum lattice Boltzmann algorithm. Specif…
Deformation and breakup dynamics of droplets within a tapered channel
Andrea Montessori, Michele La Rocca, Pietro Prestininzi +2
In this paper we numerically investigate the breakup dynamics of droplets in an emulsion flowing in a tapered microchannel with a narrow constriction. The mesoscale approach for mu…
Tracking droplets in soft granular flows with deep learning techniques
Mihir Durve, Fabio Bonaccorso, Andrea Montessori +3
The state-of-the-art deep learning-based object recognition YOLO algorithm and object tracking DeepSORT algorithm are combined to analyze digital images from fluid dynamic simulati…
Three-level multilevel simulation of the neuroreceptor function of NMDA
Francesco Di Palma, Sauro Succi, Fabio Sterpone +3
We present a new multiscale method to study the N-Methyl-D-Aspartate (NMDA) neuroreceptor starting from the reconstruction of its crystallographic structure. Thanks to the combinat…
Shear dynamics of polydisperse double emulsions
A. Tiribocchi, A. Montessori, F. Bonaccorso +2
We numerically study the dynamics of a polydisperse double emulsion under a symmetric shear flow. We show that both dispersity and shear rate crucially affect the behavior of the i…
A fast and efficient deep learning procedure for tracking droplet motion in dense microfluidic emulsions
Mihir Durve, Fabio Bonaccorso, Andrea Montessori +3
We present a deep learning-based object detection and object tracking algorithm to study droplet motion in dense microfluidic emulsions. The deep learning procedure is shown to cor…
Pandemic Drugs at Pandemic Speed: Infrastructure for Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers
Agastya P. Bhati, Shunzhou Wan, Dario Alfè +26
The race to meet the challenges of the global pandemic has served as a reminder that the existing drug discovery process is expensive, inefficient and slow. There is a major bottle…
Rayleigh-Bénard convection of a model emulsion: anomalous heat-flux fluctuations and finite-size droplets effects
Francesca Pelusi, Mauro Sbragaglia, Roberto Benzi +3
We present mesoscale numerical simulations of Rayleigh-Bénard (RB) convection in a two-dimensional model emulsion. The systems under study are constituted of finite-size droplets,…
Playing with Casimir in the vacuum sandbox
S. Kauffman, S. Succi, A. Tiribocchi +1
The Casimir effect continues to be a subject of discussion regarding its relationship, or the lack of it, with the vacuum energy of fluctuating quantum fields. In this note, we pro…
Lattice Boltzmann Multicomponent Model for Direct-Writing Printing
Michele Monteferrante, Andrea Montessori, Sauro Succi +2
We introduce a mesoscale approach for the simulation of multicomponent flows to model the direct-writing printing process, along with the early stage of ink deposition. As an appli…
Microscale modelling of dielectrophoresis assembly processes
Adriano Tiribocchi, Andrea Montessori, Marco Lauricella +3
This work presents a microscale approach for simulating the dielectrophoresis (DEP) assembly of polarizable particles under an external electric field. The model is shown to captur…
Wet to dry self-transitions in dense emulsions: from order to disorder and back
Andrea Montessori, Marco Lauricella, Adriano Tiribocchi +2
One of the most distinctive hallmarks of many-body systems far from equilibrium is the spontaneous emergence of order under conditions where disorder would be plausibly expected. H…